Poster "adaptive optimizers" Papers

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From Attention to Activation: Unraveling the Enigmas of Large Language Models

Prannay Kaul, Chengcheng Ma, Ismail Elezi et al.

ICLR 2025arXiv:2410.17174
8
citations

Understanding Optimization in Deep Learning with Central Flows

Jeremy Cohen, Alex Damian, Ameet Talwalkar et al.

ICLR 2025arXiv:2410.24206
22
citations

What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis

Weronika Ormaniec, Felix Dangel, Sidak Pal Singh

ICLR 2025arXiv:2410.10986
10
citations

MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent

Kaan Ozkara, Can Karakus, Parameswaran Raman et al.

ICML 2024arXiv:2401.08893
6
citations